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Machine Learning (Lecture + Practice)

8.3072

Dozenten

Beschreibung

Prerequisites: None

Being a mainly academic topic about 20 years ago, Machine Learning has become a discipline of major impact on both science and engineering by today. This course introduces the basics of Machine Learning and Data Mining. Major topics are concept learning, decision trees, problems of data in high dimensional representations, clustering algorithms, linear and nonlinear dimension reduction, artificial neural networks (e.g. multilayer perceptrons, RBF networks, self-organizing maps), classification methods, reinforcement learning, modeling uncertainty and temporal probability models.

Weitere Angaben

Ort: 66/E33: Di. 14:00 - 16:00 (13x), 93/E31: Mi. 10:00 - 12:00 (14x) Do. 10:00 - 12:00 (13x), 32/102: Donnerstag. 05.07.18 10:00 - 12:00
Zeiten: Di. 14:00 - 16:00 (wöchentlich), Ort: 66/E33, Mi. 10:00 - 12:00 (wöchentlich), Ort: 93/E31, Do. 10:00 - 12:00 (wöchentlich), Ort: 93/E31, Termine am Donnerstag. 05.07.18 10:00 - 12:00, Ort: 32/102
Erster Termin: Di , 03.04.2018 14:00 - 16:00, Ort: 66/E33
Veranstaltungsart: Vorlesung und Übung (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Bachelor-Programm
  • Schnupper Uni > Cognitive Science
  • Informatik > Importmodule
  • Human Sciences (e.g. Cognitive Science, Psychology)
  • Cognitive Science